نتایج جستجو برای: tasking optimization
تعداد نتایج: 319533 فیلتر نتایج به سال:
In distributed sensor networks, the tradeoff between application performance and resource consumption is a fundamental issue. In this paper, we analyze the tradeoff in the context of localization problems. In particular, the localization performance is characterized using the Cramer-Rao lower bound which reflects the performance limit in the family of unbiased estimators. For a variety of dista...
An overview of the Kitt Peak National Observatory (KPNO) real-time environment is presented. The eleven optical telescopes at Kitt Peak employ a variety of experimental instruments, including Fourier Transform Spectrometers and large array digital cameras, that impose a diverse set of real-time requirements. Presented next will be a historical perspective of FORTH and KPNO over the last decade ...
Operating brain-actuated devices requires split attention between the interaction of the device with its environment and the Brain-Computer Interface (BCI) feedback. In case of screen-based applications it is possible to merge BCI feedback and application, but not in case of controlling devices, like wheelchairs or exoskeletons. Recently we demonstrated that BCI feedback could be provided via t...
The paper explores the role that color can influence people’s visual attention and working memory through a computer-based experiment. With the assumption that there are trade-offs between attention/ memory, and loading tasks which create distractions (e.g., tasking/working people cannot afford to pay attention to other objects, and no tasking people would more pay attention to the objects), th...
In this paper we present a flexible middleware platform for re-tasking Wireless Sensor Networks (WSNs) that we coin WISEMAN. Based on our previous experiences with mobile agents in computer networks, we developed a lightweight interpreter of text-based codes that enables their deployment in order to implement diverse WSNs tasks. WISEMAN occupies 19Kbytes of TinyOS embedded code, and 3 Kbytes of...
Recently, di erence between a Massively Parallel Processor and a network of workstations (NOW) almost disappears from hardware point of view. However, current performance of NOWs is still much lower than that of MPPs because of huge overheads of operating systems. Furthermore, both MPPs and current NOWs are not general-purpose because they have not succeeded in giving users (1) a single system ...
This paper describes the applicability of the third-party qthread lightweight threading library for implementing the tasking layer for Chapel applications on conventional multisocket multicore computing platforms. A collection of Chapel benchmark codes were used to demonstrate the correctness of the qthread implementation and the performance gain provided by using an optimized threading/tasking...
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